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Sarra MsellekSM

Sarra Msellek

Data & AI Strategy Architect | GCP | Strategy

€750/day
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Sarra

I support organizations in redesigning and aligning their Data & AI architectures.
My approach is systemic: flux diagnosis, restoration of technical consistency, and alignment of Data/Cloud teams.
Specialized in GCP (BigQuery, Airflow, Dataflow, Cloud Run), I undertake recovery, migration, governance, and technical excellence missions.
References: Renault Digital, Fnac Darty, BPCE, Natixis.
Available for senior / architecture / strategic consulting missions.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km)

Experience

  • Renault Digital
    Senior Data Engineer / GenAI Architect
    May 2025 - November 2025 (6 months)
    • Diagnosis and redesign of an internal GenAI platform (upload → parsing → embeddings → search).
    • Stabilization of the MongoDB Atlas ingestion chain (rebuild of textual and vector indexes, consistency check).
    • Design of a target GCP architecture: Cloud Run + Dataflow + Airflow to decouple processing.
    • Executable documentation and knowledge transfer to Data & Cloud teams.
    Stack: Python, GCP (Cloud Run, Dataflow, BigQuery, Airflow), MongoDB, GitLab CI/CD, RAG, OpenAPI, GKE.
    MongoDB Google Cloud Platform (GCP) Google Kubernetes Engine (GKE) Cloud Run Gitlab
  • Fnac Darty
    Data Engineer GCP
    August 2023 - December 2024 (1 year and 4 months)
    • Migration of Bash scripts (crontab on VM) to Airflow, to make processing reliable and industrialized
    • Code refactoring (documentation, factorization, Python upgrade) and implementation of CI/CD via GitLab & Terraform
    • Optimization of Looker Studio dashboards (clustering, BigQuery splitting) to reduce costs
    • Automation of customer review moderation with an LLM model (Text-Bison) deployed via Cloud Function
    Google Cloud Platform (GCP) Airflow Python Terraform LLMs Cloud Function Google Cloud Run Bash BigQuery Docker Agile method
  • BPCE Infogérance & Technologies
    Data Engineer & Tech Lead Streaming Factory
    December 2017 - April 2023 (5 years and 4 months)
    • Successive roles:

    1. Creation & Management of the Streaming Factory (2021 – 2023)

    Development of real-time pipelines & standardization of best practices
    Deployment of distributed architectures (Kafka, NiFi)
    Recruitment and skill development of Data Engineers in streaming
    Stack: Kafka, NiFi, Solr, Hive, GCP, Java, Python

    2. Data Engineer / Tech Lead – BPCE Referential, Financing & Trade (2021 – 2022)

    Support for business teams on Hadoop, from design to implementation
    PySpark scripts to analyze XML files and store data in Hive
    Development and optimization of data flows for the Referential Data Lake
    Stack: CDP, Hive, Spark, Kafka (Python lib), PySpark, CI/CD (XLDeploy, Jenkins)
    3. Industrialization & Best Practices – BPCE Life Insurance (2019 – 2020)

    Industrialization of data science models (origination score)
    Implementation of reusable templates (versioning, logging, packaging)
    Collaboration on Group guidelines for model industrialization
    Stack: Python, PySpark, Jupyter, Git, Cookie Cutter
    4. Data Engineer – Trade & Treasury (2019 – 2020)

    Data transfer to HDFS and deployment of fraud algorithms (scoring, profiling)
    Stack: HDP, Hive, Python, PySpark, Git, CI/CD
    5. Data Engineer – Full Trade Monitoring (2018 – 2019)

    Implementation of a Data Lake (Kafka, Hive, Solr, PySpark) and a Flask search engine
    Close collaboration with Data Science & business teams
    HDP CDP Hadoop Spark Scala Apache Kafka Apache Nifi Atlas Python Bash Hive Solr Jenkins XLDeploy Control-M XLRelease PySpark

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Education

  • Master in Big Data and Machine Learning
    University Paris 8
    2017
    - Cours connexes : Intelligence artificielle, plateformes Big Data, sécurité informatique, algorithmes avancés} - Réalisation d'un mémoire portant sur la prédiction de la maladie de Parkinson à l'aide de données provenant de smartphones (Data Set Kaggle), SVM, WEKA, Python, (publications ACM)
  • Bachelor's degree
    University Paris 8
    2015
    Licence en Conception, Développement et Validation des Applications

Certifications

Skill set

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